Tianxi Cai, ScD
Professor of Biomedical Informatics, Harvard Medical School
John Rock Professor of Population and Translational Data Sciences, Harvard T.H. Chan School of Public Health
Director, Translational Data Science Center for a Learning Health System (CELEHS)
Tianxi Cai is a major player in developing analytical tools for mining EHR data and predictive modeling with biomedical data. She provides statistical leadership on several large-scale projects, including the NIH-funded Undiagnosed Diseases Network at DBMI. Cai's research lab develops novel statistical and machine learning methods for several areas including clinical trials, real world evidence, and personalized medicine using genomic and phenomic data. Cai received her ScD in Biostatistics at Harvard and was an assistant professor at the University of Washington before returning to Harvard as a faculty member in 2002.
DBMI Research Areas
Portability of an algorithm to identify rheumatoid arthritis in electronic health records.
Authors: Carroll RJ, Thompson WK, Eyler AE, Mandelin AM, Cai T, Zink RM, Pacheco JA, Boomershine CS, Lasko TA, Xu H, Karlson EW, Perez RG, Gainer VS, Murphy SN, Ruderman EM, Pope RM, Plenge RM, Kho AN, Liao KP, Denny JC.
J Am Med Inform Assoc
View full abstract on Pubmed
J Am Med Inform Assoc
View full abstract on Pubmed
Model Checking Techniques for Assessing Functional Form Specifications in Censored Linear Regression Models.
Predictors of severe outcomes associated with Clostridium difficile infection in patients with inflammatory bowel disease.
Authors: Ananthakrishnan AN, Guzman-Perez R, Gainer V, Cai T, Churchill S, Kohane I, Plenge RM, Murphy S.
Aliment Pharmacol Ther
View full abstract on Pubmed
Aliment Pharmacol Ther
View full abstract on Pubmed
On the covariate-adjusted estimation for an overall treatment difference with data from a randomized comparative clinical trial.
Landmark Prediction of Long Term Survival Incorporating Short Term Event Time Information.
Evaluating prognostic accuracy of biomarkers in nested case-control studies.
Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model.
Authors: Perlis RH, Iosifescu DV, Castro VM, Murphy SN, Gainer VS, Minnier J, Cai T, Goryachev S, Zeng Q, Gallagher PJ, Fava M, Weilburg JB, Churchill SE, Kohane IS, Smoller JW.
Psychol Med
View full abstract on Pubmed
Psychol Med
View full abstract on Pubmed
Genetic susceptibility to coronary heart disease in type 2 diabetes: 3 independent studies.
Authors: Qi L, Parast L, Cai T, Powers C, Gervino EV, Hauser TH, Hu FB, Doria A.
J Am Coll Cardiol
View full abstract on Pubmed
J Am Coll Cardiol
View full abstract on Pubmed
Graphical procedures for evaluating overall and subject-specific incremental values from new predictors with censored event time data.
Kernel machine SNP-set analysis for censored survival outcomes in genome-wide association studies.
Authors: Lin X, Cai T, Wu MC, Zhou Q, Liu G, Christiani DC, Lin X.
Genet Epidemiol
View full abstract on Pubmed
Genet Epidemiol
View full abstract on Pubmed